Hi Vishwas,
First of all, 8 GB for 60 cores is not a lot.
You might not be able to utilize all cores when running Flink.
However, the memory usage depends on several things.
Assuming your are using Flink for stream processing, the type of the state
backend is important. If you use the
Hi guys,
I get java heap space error when I have 1 GB of TM memory and 4 slots(we
have 4 cores in our lower environment) per TM , each slot has 1/4GB of
managed memory.
>From the flink doc
https://ci.apache.org/projects/flink/flink-docs-release-1.9/concepts/runtime.html#task-slots-and-resources
I
